PagerDuty launched the PagerDuty Integration Partner Program to accelerate innovation and increase customer value for the PagerDuty platform.
The Integration Partner Program will fuel the continued growth of PagerDuty’s 300-plus integrations by providing the foundation for a significantly expanded and richer integrations ecosystem, as well as a highly engaged partner community.
“Our Integration Ecosystem and Partner Program are central to PagerDuty’s role as the platform for real-time action,” said Jukka Alanen, SVP of Business Development and Corporate Strategy at PagerDuty. “We are excited to expand our collaboration with integration partners and bring joint value to customers by helping them innovate and improve operations more comprehensively.”
The Integration Partner Program adds immediate value for PagerDuty customers by making PagerDuty’s entire Integrations Ecosystem easily searchable, aligned to their business needs, and inclusive of a verified tier of integrations. Customers now have the ability to discover relevant integrations based on key categories, such as event processing, IT service management, and security, as well as access to richer, more useful information about integrations and joint solutions, including use cases and case studies.
PagerDuty’s Integration Ecosystem is the foundational tier in the PagerDuty partner ecosystem. Integration Ecosystem partners can publish their approved listed integrations and technical documentation on PagerDuty’s website and integrations directory using PagerDuty’s open APIs and other integration mechanisms.
The PagerDuty Integration Partner Program is an advanced tier in the PagerDuty Integration Ecosystem. It recognizes and helps promote integrated solutions from ecosystem partners who demonstrate and maintain current interoperability between their products and PagerDuty products, and who are actively engaged in driving new joint customer use. Customers can benefit from greater integration validation, proven use cases and customer examples, and richer information about the solution value.
Inaugural members of PagerDuty’s Integration Partner Program include Anodot, Blue Matador, Catchpoint, Cybersponse, Dynatrace, Humio, Icinga, InfluxData, Instana, ITManager.net, LightStep, LogDNA, LogicMonitor, Moesif, NodePing, OverOps, Rampant Technology, Raygun, Regroup, Rigd.io, Scalyr, Sentry, SignalFX, StatusCake, Sumologic, Templarbit, Threatstack, Twistlock, Uptime, Wavefront by VMware, XebiaLabs, Zapier and Zenoss, with more to be announced. Additional verified integrations include products from Amazon, AppDynamics, Atlassian, BMC, CA, Cisco, Data Dog, Google, IBM, Microsoft, New Relic, Red Hat, ServiceNow, Slack, and Splunk.
The Latest
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.